基于l_(2,1)范数原子选择的图像分块稀疏重构

In order to solve the problem of selecting atoms for image compressed samples automatically, a new l_(2,1)-norm atomic selection method is proposed. The proposed method takes into account the correlation between the atoms, eliminating the interference of atoms and selects a representative of the atomic. Image reconstruction based on image segmentation and l_(2,1)-norm selection. In this algorithm, image is divided into blocks, and the image blocks supporting set is filtered by the l_(2,1)-norm selection which enhances the discriminant of block features, improves the sparsity of atoms, and ultimately improves the accuracy and speed of image reconstruction. The simulation results show that the reconstruction accuracy can be improved with the same condition.